This document discusses how smart cities and digital technologies can improve urban sustainability and resilience. It provides background on aging infrastructure in cities and increasing pressures from population growth, climate change, and other factors. The concept of a smart city is introduced, drawing inspiration from human intelligence with layers of sensing, analysis, and control. Digital technologies like smartphones, social media, video surveillance, and high-capacity computing enable new data sources for building digital models and monitoring cities. A case study is described of the SunRise Smart City Demonstrator project in France, which used sensors and data analytics to improve management of urban water, sewer, and heating systems. The document argues that smart cities combined with collective intelligence can help address sustainability and resilience challenges
1. Could the Smart City improve
the resilience and sustainability
of urban systems (the city)?
Professor Isam SHAHROUR,
www.ishahrour.com
May, 30, 2018
Woh Hup Distinguished Lecture
Civil Engineering Department
National University of Singapore (NUS)
12. The
City
Social and Economic
• Population growth
• Aging
• Poverty
• Unemployment
• Governance
City under increasing pressure …
Built-Environment
• Aging
• Lack
• Adaptation to new
challenges
Environment
• Congestion
• Climate change
• Pollution
Hazards
• Natural
• Industrial
• Social
13. We need inclusive innovation to transform our cities
Smart City ?
Built-
Environment
CommunityManagement
20. Urban intelligent system
Sensing Layer
Information
system
Analysis capacity
(Engineering, IT)
Control layer
Community
Built-
environment Management
Virtous actions
Digital
Model
28. Video surveillance used as urban sensors
World : 350 millions (2016)
London : 500, 000 CCTV Cameras
China : 170 million CCTV cameras
• Real-time
• High sensing capacity (AI)
32. Digital technology in the City
1) City Digital Model (2D, 3D, Semantic)
GIS, BIM, Civil 3D
Photogrammetry,
CityGML
Digital model of the city
- Geo-reference
- Attributes
- Semantic
33. Digital Technology in the City
• See
• Analyze
• Understand
• Operate actions:
• Optimization
• Security
2) Monitoring & control
Real-time
34. • See
• Analyze
• Understand
• Operate actions:
• Optimization
• Security
3) Interaction with the community
Digital Technology in the City
51. Data from Early
Waning Systems
Data from Smart
Urban Systems
Data for Smart Resilient
Urban system
(Real-time & historical data
Analysis tools
Engineering, safety & Smart City tools
(Big Data, AI)
Holistic early actions
(absorbing)
Holistic recovery &
adaptation actions
Learning form data to
improve the resiliency
strategy
2) Early warning & actions
Smart Resiliency Strategy
54. 2) Early warning & actions
Smart Resiliency Strategy
Data from Early
Waning Systems
Data from Smart
Urban Systems
Data for Smart Resilient
Urban system
(Real-time & historical data
Analysis tools
Engineering, safety & Smart City tools
(Big Data, AI)
Holistic early actions
(absorbing)
Holistic recovery &
adaptation actions
Learning form data to
improve the resiliency
strategy
61. University campus: Smart City demonstrator
Small town
• 25 000 users
• 140 Buildings
100 km of urban networks
• Drinking Water
• Sewage
• District Heating
• Gas
• Electrical ( HV, LV)
• Public light
64. Main achievements
• Digital model for urban infrastructures (GIS)
• Urban networks monitoring
• Data analysis
• Substantial improvements
65. Platform
Information
System
• Asset Data (GIS, BIM)
Analytics
Web
Server
• Technical staff
• Users
Data transmission:
• Wired
• Wireless
• Buildings
• Urban network
Sensors &
Actuators
• Recorded data (sensors)
Other data
• Environment
• Transport
• Administration
• Other data
SunRise Smart city system
66. • 15 km
• Complex
• 60 years old
Drinking water
76. Conclusion
• Digital technology together with collective intelligence (Smart
City) provide high capacity to meet sustainability and
resiliency challenges
• Pilot projects are needed to learn and develop scalable
solutions
77. Thank you for your attention
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